Job Role/Job Description (Please fill in the exact role expected out of the candidate)

What roles and responsibilities will be performed by the selected candidate?

- Seeking a highly experienced and technically adept AI/ML Engineer to spearhead a strategic initiative focused on analyzing annual changes in IRS-published TRCs and identifying their downstream impact on codebases.

- Role demands deep expertise in machine learning, knowledge graph construction, and software engineering processes.

- The ideal candidate will have a proven track record of delivering production-grade AI solutions in complex enterprise environments.

Key Responsibilities:

- Design and development of an AI/ML-based system to detect and analyze differences in IRS TRC publications year-over-year.

- Implement knowledge graphs to model relationships between TRC changes and impacted code modules.

- Collaborate with tax domain experts, software engineers, and DevOps teams to ensure seamless integration of the solution into existing workflows.

- Define and enforce engineering best practices, including CI/CD, version control, testing, and model governance.

- Drive the end-to-end lifecycle of the solution—from data ingestion and model training to deployment and monitoring.

- Ensure scalability, performance, and reliability of the deployed system in a production environment.

- Mentor junior engineers and contribute to a culture of technical excellence and innovation.





Required Skills & Experience:

- 8+ years of experience in software engineering, with at least 5 years in AI/ML solution delivery.

- Strong understanding of tax-related data structures, especially IRS TRCs, is a plus.

- Expertise in building and deploying machine learning models using Python, TensorFlow/PyTorch, and ML Ops frameworks.

- Hands-on experience with Knowledge graph technologies (e.g., Neo4j, RDF, SPARQL, GraphQL).

- Deep familiarity with software architecture, microservices, and API design.

- Experience with NLP techniques for document comparison and semantic analysis.

- Proven ability to lead cross-functional teams and deliver complex projects on time.

- Strong communication and stakeholder management skills.

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Preferred Qualifications:

- Experience working on regulatory or compliance-driven AI applications.

- Familiarity with code analysis tools and static/dynamic code mapping techniques.

- Exposure to cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes).

- Contributions to open-source AI/ML or graph-based projects.

Skill Set Required

Must Have

Positive to Have

1

AI/ML

Yes

2

Python, TensorFlow/PyTorch, and ML Ops frameworks

Yes

3

Knowledge graph technologies

Yes

4

Data migration testing

Yes

5

Azure DevOps

Yes

6

Azure AI

Yes

7

US Tax understanding

Yes

📌 AI/ML Engineer (Kochi)
🏢 Recognized
📍 Kochi